Articles | Volume 9, issue 3
Research article
04 Mar 2024
Research article |  | 04 Mar 2024

Measurement-driven large-eddy simulations of a diurnal cycle during a wake-steering field campaign

Eliot Quon

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Cited articles

Abbas, N., Zalkind, D., and Mudafort, R.: NREL's Reference OpenSource Controller (ROSCO) toolbox for wind turbine applications, version 2.0.2, GitHub [code], (last access: 7 July 2020), 2020. a
Abbas, N. J., Zalkind, D. S., Pao, L., and Wright, A.: A Reference Open-Source Controller for Fixed and Floating Offshore Wind Turbines, Wind Energ. Sci., 7, 53–73,, 2022. a
Abkar, M., Sharifi, A., and Porté-Agel, F.: Wake Flow in a Wind Farm during a Diurnal Cycle, J. Turbul., 17, 420–441,, 2016. a
Allaerts, D., Quon, E., and Churchfield, M.: Using Observational Mean-flow Data to Drive Large-eddy Simulations of a Diurnal Cycle at the SWiFT Site, Wind Energy, 26, 469–492,, 2023. a, b, c, d, e, f
Allaerts, D. J. N., Quon, E., Draxl, C., and Churchfield, M.: Development of a Time–Height Profile Assimilation Technique for Large-Eddy Simulation, Bound.-Lay. Meteorol., 176, 2533–2550,, 2020. a, b, c, d, e, f, g, h
Short summary
Engineering models used to design wind farms generally do not account for realistic atmospheric conditions that can rapidly evolve from minute to minute. This paper uses a first-principles simulation technique to predict the performance of five wind turbines during a wind farm control experiment. Challenges included limited observations and atypical conditions. The simulation accurately predicts the aerodynamics of a turbine when it is situated partially within the wake of an upstream turbine.
Final-revised paper